Probabilistic Recurrent State-Space Models

Andreas Doerr, Christian Daniel, Martin Schiegg, Duy Nguyen-Tuong, Stefan Schaal, Marc Toussaint, Sebastian Trimpe. Probabilistic Recurrent State-Space Models. In Jennifer G. Dy, Andreas Krause 0001, editors, Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15, 2018. Volume 80 of JMLR Workshop and Conference Proceedings, pages 1279-1288, JMLR.org, 2018. [doi]

@inproceedings{DoerrDSNSTT18,
  title = {Probabilistic Recurrent State-Space Models},
  author = {Andreas Doerr and Christian Daniel and Martin Schiegg and Duy Nguyen-Tuong and Stefan Schaal and Marc Toussaint and Sebastian Trimpe},
  year = {2018},
  url = {http://proceedings.mlr.press/v80/doerr18a.html},
  researchr = {https://researchr.org/publication/DoerrDSNSTT18},
  cites = {0},
  citedby = {0},
  pages = {1279-1288},
  booktitle = {Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15, 2018},
  editor = {Jennifer G. Dy and Andreas Krause 0001},
  volume = {80},
  series = {JMLR Workshop and Conference Proceedings},
  publisher = {JMLR.org},
}